Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks.
Dominik SchnausJongseok LeeDaniel CremersRudolph TriebelPublished in: CoRR (2023)
Keyphrases
- neural network
- learning algorithm
- prior knowledge
- learning process
- neural nets
- connectionist systems
- cascade correlation
- learning systems
- learning tasks
- estimation algorithm
- back propagation
- background knowledge
- multilayer perceptron
- recurrent neural networks
- probabilistic model
- learning scheme
- learning rules
- learning capabilities
- feedforward neural networks
- explanation based generalization
- active learning
- pattern recognition